def super_plot(zoom_dynspec, pulse=0, zoom=1, info=None):
'''Do some awesome ploting.
'''
#Create a frequency vector
frequencies = zoom_dynspec.par.yvalues
#Create a time vector
times = zoom_dynspec.par.xvalues
pdb.set_trace()
cr.plt.clf()
cr.plt.ion()
zoom = 1
if zoom:
cr.plt.rcParams['font.size'] = 20
cr.plt.rcParams['axes.titlesize'] = 30
cr.plt.subplot(2, 2, 1)
cr.plt.title("Pulse Profile from : " + zoom_dynspec.par.station)
cr.plt.xlabel("+/- Time [s]")
flat_dyn = bt.flatdyn(zoom_dynspec, axis='x')
cr.plt.plot(flat_dyn.par.xvalues, flat_dyn)
cr.plt.autoscale(axis='x', tight=True)
cr.plt.subplot(2, 2, 4)
cr.plt.xlabel("Frequency [MHz]")
flat_dyn, flat_dyn2 = bt.flatdyn(
zoom_dynspec,
axis='y',
pulse_range=info.par.pulse_range,
background_range=[0, 50 / info.par.tbin])
cr.plt.plot(flat_dyn.par.xvalues, flat_dyn)
cr.plt.plot(flat_dyn.par.xvalues, flat_dyn2, 'r')
cr.plt.autoscale(axis='x', tight=True)
cr.plt.subplot(2, 2, 3)
#Time integration.
tbin = 1
if tbin > 1:
zoom_dynspec = cr.hArray_toNumpy(zoom_dynspec)
zoom_dynspec = zoom_dynspec.reshape(
(zoom_dynspec.shape[0] / tbin, tbin, zoom_dynspec.shape[1]))
zoom_dynspec = np.sum(zoom_dynspec, axis=1)
zoom_dynspec = cr.hArray(zoom_dynspec)
zoom_dynspec = zoom_dynspec.Transpose()
tbin = 4
if tbin > 1:
zoom_dynspec = cr.hArray_toNumpy(zoom_dynspec)
zoom_dynspec = zoom_dynspec[:-3]
zoom_dynspec = zoom_dynspec.reshape(
(zoom_dynspec.shape[0] / tbin, tbin, zoom_dynspec.shape[1]))
zoom_dynspec = np.sum(zoom_dynspec, axis=1)
zoom_dynspec = cr.hArray(zoom_dynspec)
zoom_dynspec = zoom_dynspec.Transpose()
cr.plt.imshow(np.log10(cr.hArray_toNumpy(zoom_dynspec)),
aspect='auto',
origin='lower',
cmap=cr.plt.cm.hot,
extent=(times[0], times[-1], frequencies[0],
frequencies[-1]))
cr.plt.xlabel("+/- Time [s]")
cr.plt.ylabel("Frequency [MHz]")
def dynplot(dynspec, log=True):
'''Plot dynamic spectrum.
'''
raise NotImplementedError
#Create a frequency vector
frequencies = dynspec.par.yvalues
#Create a time vector
times = dynspec.par.xvalues
#Plotings....
cr.plt.ion()
cr.plt.clf()
if not log:
cr.plt.imshow(cr.hArray_toNumpy(dynspec),
aspect='auto',
origin='lower',
cmap=cr.plt.cm.hot,
vmin=1e-3,
vmax=0.03,
extent=(times[0], times[-1], frequencies[0],
frequencies[-1]))
else:
cr.plt.imshow(np.log10(cr.hArray_toNumpy(dynspec)),
aspect='auto',
origin='lower',
vmin=-3,
vmax=-1.5,
cmap=cr.plt.cm.hot,
extent=(times[0], times[-1], frequencies[0],
frequencies[-1]))
cr.plt.xlabel("+/- Time [s]")
cr.plt.ylabel("Frequency [MHz]")
cross_correlation = cross_correlation.Transpose()
final_cc = cross_correlation[...].sum()
print 'Need to check that the code is working, now with either doing the station mean on the complex or on the timeseries.'
stop
#------------------------
final_cc/=blocklen*nblocks
#final_cc.abs()
final_cc=cr.hArray(float,len(final_cc),fill=final_cc)
cr.plt.ion()
time = np.arange(-1*blocklen*5e-9/2,blocklen*5e-9/2,5e-9)
cr.plt.plot(time,cr.hArray_toNumpy(final_cc))
cr.plt.xlabel('Time [s] ')
final_cc=cr.hArray(float,[1,len(final_cc)],fill=final_cc)
#------------------------
#Fitting cc.
range_cc = 20
cut_cc = cr.hArray(float,[1,len(final_cc[0,speclen-range_cc:speclen+range_cc].vec())],final_cc[0,speclen-range_cc:speclen+range_cc].vec())
mx=cr.trun("FitMaxima",cut_cc,doplot=True,peak_width=40)#,splineorder=2)
print '--------------------'
#------------------------
# Resample
resample = 32
delay_step = beams['TBB_SAMPLE_INTERVAL'][0] / resample
cc_smooth = cr.hArray(float, [1, blocklen * resample])
cr.hFFTWResample(cc_smooth, cross_correlation)
# Ploting resampled
cr.plt.ion()
cc_smooth = cr.hArray(float, len(cc_smooth), fill=cc_smooth)
time = np.arange(-1 * blocklen * 5e-9 / 2, blocklen * 5e-9 / 2,
5e-9 / resample)
cr.plt.plot(time, cr.hArray_toNumpy(cc_smooth))
cr.plt.xlabel('Time [s] ')
#cc_smooth.abs()
cr.plt.plot(time, cr.hArray_toNumpy(cc_smooth))
#------------------------
#Using a Hilbert envelope
if envelope:
cr.plt.ion()
cr.plt.figure()
cr.plt.plot(cc_smooth)
cc_nparray = cc_smooth.toNumpy()
envelope_cc = abs(scipy.signal.hilbert(cc_nparray))
def calcIndividualStationDynspecs(beams,
dm=0,
save_file=False,
fraction=None,
tbin=1,
clean=False,
verbose=1,
time_range=None):
'''
Calculates the dynamic spectrum of individual beams.
============ ===== ===================================================================
*beams* Input array.
*dm* 0 Dedispersion Measure
*save_file* False Saves a file in hArray format with additional information besides the array values.
*fraction* None If not None, then a list of the form [x,y] such that extracting the fraction x/y of the data. with x>-1, and y>=x.
*tbin* 1 If >1 integrates over this number of blocks. Or time binning.
*clean* False If True it calculates the cleaned spectrum.
*verbose* 1 If want to print status and performance.
*time_range* None List with the begin and end of time selection. [t1,t2] in s
============ ===== ===================================================================
Example::
import Beam_Tools as bt
dynspecs = bt.calcIndividualStationDynspecs(beams)
or::
import Beam_Tools as bt
dynspecs,cleandynspecs = bt.calcIndividualStationDynspecs(beams,tbin=16,clean=True,save_file=True,time_range=[0,.1])
'''
#-----------
#Log of things to check:
#1)tbin divisiion
#-----------
t0 = time.clock()
# filename_bin = os.path.join(filename,"data.bin") #Maybe needed in the future if using "from_file" option.
speclen = beams['BEAM_SPECLEN']
block_duration = beams['BLOCKSIZE'] * beams['SAMPLE_INTERVAL'][0]
nblocks = beams['NCHUNKS'] * beams['BEAM_NBLOCKS']
if not beams['DM'] and dm:
beams['DM'] = dm
if time_range:
#Time selection indexing.
if type(time_range) != type([]) or len(time_range) != 2 or time_range[
0] > time_range[1] or time_range[0] < 0 or time_range[1] < 0:
raise ValueError(
'Need a list of lenght 2, with first element "<" or "=" second element. Both elements positive.'
)
times = beams.getTimes()
block_range = cr.hArray(int, 2)
cr.hFindSequenceBetweenOrEqual(block_range, times, time_range[0],
time_range[1], 0, 0)
nblocks = block_range[1] - block_range[0]
fraction = False
block_range = range(block_range[0], block_range[1])
if not fraction:
fraction = [1, 1]
if not time_range:
block_range = range(0, nblocks)
else:
if type(fraction) != type([]) or len(fraction) != 2 or fraction[
0] > fraction[1] or fraction[0] < 0 or fraction[1] < 0:
raise ValueError(
'Need a list of lenght 2, with first element "<" or "=" second element. Both elements positive.'
)
if fraction[0] == 0: fraction[0] = 1
nblocks = int(nblocks / fraction[1])
block_range = range((fraction[0] - 1) * nblocks,
(fraction[0]) * nblocks)
beam = beams.empty('FFT_DATA')
dynspec = cr.hArray(float, [beam.shape()[0], nblocks, beam.shape()[1]])
#Dynamic spectrum calculation.
for i, block in enumerate(block_range):
if verbose:
print 'Dynamic spectrum calculation at {0:.2%} \r'.format(
float(i) / nblocks),
sys.stdout.flush()
beams.getFFTData(beam, block)
for b in range(beam.shape()[0]):
dynspec[b, i].spectralpower2(beam[b])
#Time integration.
if tbin > 1:
dynspec = cr.hArray_toNumpy(dynspec)
dynspec = dynspec.reshape((dynspec.shape[0], dynspec.shape[1] / tbin,
tbin, dynspec.shape[2]))
dynspec = np.sum(dynspec, axis=2)
dynspec = cr.hArray(dynspec)
#Cleaning dynamic spectrum.
if clean:
cleandynspec = dynspec * 0
for b in range(beam.shape()[0]):
avspec = cr.hArray(float, speclen, fill=0.0)
dynspec[b, ...].addto(avspec)
cleandynspec[b] = (dynspec[b] * dynspec.shape()[1] / avspec)[0]
#Transposing arrays.
dynspec_T = dynspec.Transpose() * 0
for b in range(beam.shape()[0]):
dynspec_T[b] = dynspec[b].Transpose()
dynspec = dynspec_T
if clean:
cleandynspec_T = cleandynspec.Transpose() * 0
for b in range(beam.shape()[0]):
cleandynspec_T[b] = cleandynspec[b].Transpose()
cleandynspec = cleandynspec_T
#Create a frequency vector
frequencies = beams['BEAM_FREQUENCIES']
#Create a time vector
start_time = block_range[0] * block_duration
end_time = block_range[-1] * block_duration
times = cr.hArray(
float,
int(round((end_time - start_time) / (block_duration * tbin))),
name="Time",
units=("", "s"))
times.fillrange(start_time, block_duration * tbin)
#Adding parameters
dynspec.par.yvalues = frequencies
dynspec.par.xvalues = times
dynspec.par.tbin = tbin
if clean:
cleandynspec.par.yvalues = frequencies
cleandynspec.par.xvalues = times
cleandynspec.par.tbin = tbin
#Saving file(s).
if save_file:
dynspec.write(os.path.join(filename, "dynspec"),
nblocks=1,
block=0,
clearfile=True)
print 'Saving binary in %s' % os.path.join(filename, "dynspec.pcr")
if clean:
cleandynspec.write(os.path.join(filename, "clean_dynspec"),
nblocks=1,
block=0,
clearfile=True)
print 'Saving binary in %s' % os.path.join(filename,
"clean_dynspec.pcr")
if verbose:
print "Finished - dyncalc time used:", time.clock() - t0, "s."
if clean:
return dynspec, cleandynspec
else:
return dynspec
def rawdyncalc(TAB,
fraction=None,
tbin=1,
clean=False,
axis_val=False,
verbose=1):
'''
Calculates the dynamic spectrum of a raw beam (no TBB info).
=============== ===== ===================================================================
*TAB* Input complex array.
*fraction* None If not None, then a list of the form [x,y] such that extracting the fraction x/y of the data. with x>-1, and y>=x.
*tbin* 1 If >1 integrates over this number of blocks. Or time binning.
*clean* False If True it calculates the cleaned spectrum.
*verbose* 1 If want to print status and performance.
=============== ===== ===================================================================
Example::
import Beam_Tools as bt
dynspec = bt.rawdyncalc(filename)
or::
import Beam_Tools as bt
dynspec,cleandynspec = bt.rawdyncalc(TAB,tbin=16,clean=True)
'''
t0 = time.clock()
speclen = TAB.shape()[1]
block_duration = (TAB.shape()[1] - 1) * 2 * 5e-09
nblocks = TAB.shape()[0]
#Create a frequency vector
if axis_val:
frequencies = TAB.par.yvalues
else:
frequencies = cr.hArray(
float, speclen,
list(np.arange(1e+08, 2e+08 + 12207.03125, 12207.03125)))
if not fraction:
fraction = [1, 1]
else:
if type(fraction) != type([]) or len(fraction) != 2 or fraction[
0] > fraction[1] or fraction[0] < 0 or fraction[1] < 0:
raise ValueError(
'Need a list of lenght 2, with first element "<" or "=" second element. Both elements positive.'
)
if fraction[0] == 0: fraction[0] = 1
nblocks = int(nblocks / fraction[1])
start_time = (fraction[0] - 1) * (block_duration * nblocks) / fraction[1]
end_time = fraction[0] * (block_duration * nblocks) / fraction[1]
dynspec = cr.hArray(float, [nblocks, speclen])
block_range = range((fraction[0] - 1) * nblocks, (fraction[0]) * nblocks)
beam = cr.hArray(complex, speclen)
#Reading TAB.
for block in block_range:
if verbose:
print 'Dynspec calculation at {0:.2%} \r'.format(
float(block) / nblocks),
sys.stdout.flush()
beam = TAB[block]
dynspec[block].spectralpower2(beam)
#Time integration.
if tbin > 1:
dynspec = cr.hArray_toNumpy(dynspec)
dynspec = dynspec.reshape(
(dynspec.shape[0] / tbin, tbin, dynspec.shape[1]))
dynspec = np.sum(dynspec, axis=1)
dynspec = cr.hArray(dynspec)
#Cleaning dynamic spectrum.
if clean:
avspec = cr.hArray(float, speclen, fill=0.0)
dynspec[...].addto(avspec)
cleandynspec = dynspec / avspec
#Transposing arrays.
dynspec = dynspec.Transpose()
if clean:
cleandynspec = cleandynspec.Transpose()
#Create a time vector
if axis_val:
times = TAB.par.xvalues
else:
times = cr.hArray(
float,
int(round((end_time - start_time) / (block_duration * tbin))),
name="Time",
units=("", "s"))
times.fillrange(start_time, block_duration * tbin)
#Adding parameters
dynspec.par.yvalues = frequencies
dynspec.par.xvalues = times
dynspec.par.tbin = tbin
if clean:
cleandynspec.par.yvalues = frequencies
cleandynspec.par.xvalues = times
cleandynspec.par.tbin = tbin
if verbose:
print "Finished - dyncalc time used:", time.clock() - t0, "s."
if clean:
return dynspec, cleandynspec
else:
return dynspec
def addBeams(beams,
dyncalc=False,
save_file=False,
fraction=False,
clean=False,
tbin=1,
dm=0,
verbose=1,
incoherent=False):
'''Add complex beams toguether.
If requested:
- Calculates a dynamic spectrum.
- Dedisperses the beam.
- Bins the dynspec in integer time blocks (not for the TAB, which stays in complex).
=============== ===== ===================================================================
*beams* Input beams, opened by the beam.py interphase.
*dyncalc* True If True it calculates the dynamic spectrum
*dm* 0 Dedispersion Measure
*save_file* False Saves a file in hArray format with additional information besides the array values.
*fraction* None If not None, then a list of the form [x,y] such that extracting the fraction x/y of the data. with x>-1, and y>=x. This also makes tbin=1
*tbin* 1 If >1 integrates over this number of blocks. Or time binning.
*clean* False If True it calculates the cleaned spectrum.
*verbose* 1 If want to print status and performance.
*incoherent* False Adding beams coherently (default) or not.
=============== ===== ===================================================================
Example::
import Beam_Tools as bt
TAB,dynspec,cleandynspec = bt.addBeams(beams,dyncalc=True,tbin=16,dm=26.76,clean=True)
'''
if incoherent:
print 'Incoherent addition of the following beams: '
else:
print 'Coherent addition of the following beams: '
for file in beams['FILENAMES']:
print file
print '------_-------'
if save_file:
raise KeyError("Keyword is invalid for now: " + key)
if fraction:
if tbin > 1:
print 'WARNING: tbin has been reset to 1, since using fraction.'
tbin = 1
t0 = time.clock()
speclen = beams['BLOCKSIZE'] / 2 + 1
block_duration = beams['BLOCKSIZE'] * beams['SAMPLE_INTERVAL'][0]
nblocks = beams['NCHUNKS'] * beams['BEAM_NBLOCKS']
beam = beams.empty('FFT_DATA')
total_beam = cr.hArray(complex, (nblocks, beam.shape()[1]))
fft_matrix = cr.hArray(complex, beam.shape()[1])
if not beams['DM'] and dm:
beams['DM'] = dm
if not fraction:
fraction = [1, 1]
else:
if type(fraction) != type([]) or len(fraction) != 2 or fraction[
0] > fraction[1] or fraction[0] < 0 or fraction[1] < 0:
raise ValueError(
'Need a list of lenght 2, with first element "<" or "=" second element. Both elements positive.'
)
if fraction[0] == 0: fraction[0] = 1
nblocks = int(nblocks / fraction[1])
if dyncalc:
dynspec = cr.hArray(float, (nblocks, beam.shape()[1]))
if incoherent:
for block in range(nblocks):
bm = cr.hArray(complex, beam.shape()[1])
if verbose:
print 'Addition beams at {0:.2%} \r'.format(
float(block) / nblocks),
sys.stdout.flush()
beams.getFFTData(beam, block)
dynspec[block].spectralpower2(beam[...])
total_beam = dynspec
else:
for block in range(nblocks):
bm = cr.hArray(complex, beam.shape()[1])
if verbose:
print 'Addition beams at {0:.2%} \r'.format(
float(block) / nblocks),
sys.stdout.flush()
beams.getFFTData(beam, block)
for b in range(beam.shape()[0]):
fft_matrix[:] = beam[b].vec() / float(b + 1.)
if b > 0:
bm *= (b) / (b + 1.)
bm += fft_matrix #Around here I could possibly change the code to be saving each station at the time... just like beamformer does.. to help not eating too much memory.
total_beam[block] = bm
if dyncalc:
dynspec[block].spectralpower2(bm)
if verbose:
print "Finished - addBeams in %f sec" % (time.clock() - t0)
if dyncalc:
start_time = (fraction[0] - 1) * (block_duration * nblocks)
end_time = fraction[0] * (block_duration * nblocks)
#Create a frequency vector
frequencies = beams['BEAM_FREQUENCIES']
#Create a time vector
times = cr.hArray(
float,
int(round((end_time - start_time) / (block_duration * tbin))),
name="Time",
units=("", "s"))
times.fillrange(start_time, block_duration * tbin)
#Time integration.
if tbin > 1:
dynspec = cr.hArray_toNumpy(dynspec)
dynspec = dynspec.reshape(
(dynspec.shape[0] / tbin, tbin, dynspec.shape[1]))
dynspec = np.sum(dynspec, axis=1)
dynspec = cr.hArray(dynspec)
#Cleaning dynamic spectrum.
if clean:
avspec = cr.hArray(float, speclen, fill=0.0)
dynspec[...].addto(avspec)
cleandynspec = dynspec / avspec
#Transposing arrays.
dynspec = dynspec.Transpose()
if clean:
cleandynspec = cleandynspec.Transpose()
#Adding parameters
dynspec.par.yvalues = frequencies
dynspec.par.xvalues = times
dynspec.par.tbin = tbin
if clean:
cleandynspec.par.yvalues = frequencies
cleandynspec.par.xvalues = times
cleandynspec.par.tbin = tbin
if clean:
return total_beam, dynspec, cleandynspec
else:
return total_beam, dynspec
else:
return total_beam
def dyncalc_multibeam(filename=None,
beams=None,
nbeam=0,
save_file=False,
from_file=False,
fraction=None,
tbin=1,
clean=False):
'''
Calculates the dynamic spectrum.
=============== ===== ===================================================================
*beams* None Input array.
*nbeam* 0 Beam to work with, if ()beams has stored multiple ones.
*save_file* False Saves a file in hArray format with additional information besides the array values.
*from_file* False Read cleandynspec from file.
*fraction* None If not None, then a list of the form [x,y] such that extracting the fraction x/y of the data. with x>-1, and y>=x.
*tbin* 1 If >1 integrates over this number of blocks. Or time binning.
*clean* False If True it calculates the cleaned spectrum.
=============== ===== ===================================================================
Example::
import Beam_Tools as bt
dynspec = bt.dyncalc(filename)
or::
import Beam_Tools as bt
dynspec,cleandynspec = bt.dyncalc(beams,tbin=16,clean=True,save_file=True)
The regular and clean dynamic spectra (all blocks) are returned and stored in ``Task.dynspec`` and ``Task.cleandynspec`` respectively.
'''
raise NotImplementedError
if beams == None and filename == None:
raise ValueError(
'Need to provide either the filename or the opened .beam file')
if nbeam != 0 or from_file or save_file:
raise KeyError("Keyword is invalid for now: " + key)
t0 = time.clock()
if beams == None:
beams = cr.open(filename)
elif filename == None:
filename = beams['FILENAMES'][0]
# filename_bin = os.path.join(filename,"data.bin") #Maybe needed in the future if using "from_file" option.
speclen = beams['BLOCKSIZE'] / 2 + 1
block_duration = beams['BLOCKSIZE'] * beams['SAMPLE_INTERVAL'][0]
nblocks = beams['NCHUNKS'] * beams['BEAM_NBLOCKS']
if not fraction:
fraction = [1, 1]
else:
if type(fraction) != type([]) or len(fraction) != 2 or fraction[
0] > fraction[1] or fraction[0] < 0 or fraction[1] < 0:
raise ValueError(
'Need a list of lenght 2, with first element "<" or "=" second element. Both elements positive.'
)
if fraction[0] == 0: fraction[0] = 1
nblocks = int(nblocks / fraction[1])
start_time = (fraction[0] - 1) * (block_duration * nblocks) / fraction[1]
end_time = fraction[0] * (block_duration * nblocks) / fraction[1]
beam = beams.empty('FFT_DATA')
tm = cr.hArray(float, beam)
dynspec = cr.hArray(float, [nblocks, beam.shape()[0], speclen])
block_range = range((fraction[0] - 1) * nblocks, (fraction[0]) * nblocks)
pdb.set_trace()
#Reading beams.
for block in block_range:
print ' Calculation at {0:.2%} \r'.format(
float(block) / len(block_range)),
sys.stdout.flush()
beams.getFFTData(beam, block)
tm[...].spectralpower2(beam[...])
dynspec[block] = tm
#Time integration.
if tbin > 1:
dynspec = cr.hArray_toNumpy(dynspec)
dynspec = dynspec.reshape((dynspec.shape[0] / tbin, tbin,
dynspec.shape[1], dynspec.shape[2]))
dynspec = np.sum(dynspec, axis=1)
dynspec = cr.hArray(dynspec)
#Rearranging dimensions.
dynspec = cr.hArray_toNumpy(dynspec)
# dynspec = np.rollaxis(dynspec,0,3)
dynspec = np.swapaxes(dynspec, 0, 1)
dynspec = np.swapaxes(dynspec, 1, 2)
dynspec = cr.hArray(
dynspec.copy()) #The .copy() is quick&dirty way to avoid a bug.
#Cleaning dynamic spectrum.
if clean:
avspec = cr.hArray(float, speclen, fill=0.0)
cleandynspec = cr.hArray(float, dynspec, fill=0.0)
for dim in range(dynspec.shape()[0]):
single_dynspec = cr.hArray(float,
dynspec.shape()[1:], dynspec[dim])
single_dynspec[...].addto(avspec)
cleandynspec[dim] = single_dynspec / avspec
#Create a frequency vector
frequencies = beams['BEAM_FREQUENCIES']
#Create a time vector
times = cr.hArray(
float,
int(round((end_time - start_time) / (block_duration * tbin))),
name="Time",
units=("", "s"))
times.fillrange(start_time, block_duration * tbin)
#Adding parameters
dynspec.par.yvalues = frequencies
dynspec.par.xvalues = times
dynspec.par.tbin = tbin
if clean:
cleandynspec.par.yvalues = frequencies
cleandynspec.par.xvalues = times
cleandynspec.par.tbin = tbin
#Saving file(s).
if save_file:
dynspec.write(os.path.join(filename, "dynspec"),
nblocks=1,
block=0,
clearfile=True)
print 'Saving binary in %s' % os.path.join(filename, "dynspec.pcr")
if clean:
cleandynspec.write(os.path.join(filename, "clean_dynspec"),
nblocks=1,
block=0,
clearfile=True)
print 'Saving binary in %s' % os.path.join(filename,
"clean_dynspec.pcr")
print "Finished - total time used:", time.clock() - t0, "s."
if clean:
return dynspec, cleandynspec
else:
return dynspec
#Calculate dynamic spectrum.
dynspec, cleandynspec = bt.rawdyncalc(TAB, clean=True, tbin=tbin)
pulse_cut = 1
title = 'Superterp Stations (Coherent)-pol0'
if not pulse_cut:
#Plot.
# frequencies = beams['BEAM_FREQUENCIES']/10**6
# times = cr.hArray(float,nblocks,list(np.arange(0,nblocks*block_tstep,block_tstep)))
frequencies = cleandynspec.par.yvalues
times = cleandynspec.par.xvalues
cr.plt.clf()
cr.plt.ion()
cr.plt.imshow(np.log10(cr.hArray_toNumpy(cleandynspec)),
aspect='auto',
origin='lower',
cmap=cr.plt.cm.hot,
extent=(times[0], times[-1], frequencies[0],
frequencies[-1]))
cr.plt.rcParams['font.size'] = 20
cr.plt.ylabel("Frequency [MHz]")
cr.plt.xlabel("Time [s]")
# cr.plt.title(beams_suffix)
cr.plt.title(title)
else:
pulse = 1
# Get pulse information
def super_plot(zoom_dynspec,pulse=0,zoom=1):
'''Do some awesome ploting.
'''
#Create a frequency vector
frequencies = zoom_dynspec.par.yvalues
#Create a time vector
times = zoom_dynspec.par.xvalues
# cr.plt.subplot(1,len(filenames),i)
cr.plt.clf()
zoom=0
if zoom:
cr.plt.rcParams['font.size']=20
cr.plt.rcParams['axes.titlesize']=30
flat_dyn=bt.flatdyn(zoom_dynspec,pulse=pulse)
cr.plt.subplot(2,2,1)
cr.plt.title("Pulse Profile from : " + zoom_dynspec.par.station)
cr.plt.plot(flat_dyn.par.xvalues,flat_dyn)
cr.plt.xlabel("+/- Time [s]")
cr.plt.autoscale(axis='x',tight=True)
pdb.set_trace()
if pulse!=3: # Need to fix flatdyn for any kind of pulse ... or need to actually remove all the hardcoded stuff.
flat_dyn,flat_dyn2=bt.flatdyn(zoom_dynspec,axis='y',pulse=pulse)
cr.plt.subplot(2,2,4)
cr.plt.plot(flat_dyn.par.xvalues,flat_dyn)
cr.plt.plot(flat_dyn.par.xvalues,flat_dyn2,'r')
cr.plt.autoscale(axis='x',tight=True)
cr.plt.xlabel("Frequency [MHz]")
cr.plt.subplot(2,2,3)
#Time integration.
# tbin=9
if pulse:
tbin=4
else:
tbin=6
if not zoom:
tbin=1
if tbin>1:
zoom_dynspec = cr.hArray_toNumpy(zoom_dynspec)
zoom_dynspec = zoom_dynspec.reshape((zoom_dynspec.shape[0]/tbin,tbin,zoom_dynspec.shape[1]))
zoom_dynspec = np.sum(zoom_dynspec,axis=1)
zoom_dynspec = cr.hArray(zoom_dynspec)
# tbin=8
tbin=1
zoom_dynspec = zoom_dynspec.Transpose()
if tbin>1:
zoom_dynspec = cr.hArray_toNumpy(zoom_dynspec)
zoom_dynspec = zoom_dynspec.reshape((zoom_dynspec.shape[0]/tbin,tbin,zoom_dynspec.shape[1]))
zoom_dynspec = np.sum(zoom_dynspec,axis=1)
zoom_dynspec = cr.hArray(zoom_dynspec)
zoom_dynspec = zoom_dynspec.Transpose()
cr.plt.imshow(np.log10(cr.hArray_toNumpy(zoom_dynspec)),aspect='auto',origin='lower',cmap=cr.plt.cm.hot,extent=(times[0],times[-1],frequencies[0],frequencies[-1]))
# pdb.set_trace()
# cr.plt.imshow(np.log10(cr.hArray_toNumpy(zoom_dynspec)),aspect='auto',origin='lower',cmap=cr.plt.cm.hot,vmin=-4,vmax=-3,extent=(times[0],times[-1],frequencies[0],frequencies[-1]))
cr.plt.xlabel("+/- Time [s]")
cr.plt.ylabel("Frequency [MHz]")
if zoom:
zoom_dynspec=bt.cutdynspec(full_dynspec,pulse=pulse)
zoom_dynspec.par.station = beams['STATION_NAME'][0]
incoherent_dynspec+=zoom_dynspec/6.
# zoom_beam=bt.cutbeam(beam)
# zoom_dynspec=bt.rawdyncalc(zoom_beam,axis_val=True)
if verbose:
super_plot(zoom_dynspec,pulse=pulse,zoom=zoom)
pdb.set_trace() # Used for now to pause and manually save the images.
else:
full_dynspec = full_dynspec.Transpose()
dynspec=cr.hArray(float,[nblocks, 8193],full_dynspec[0:nblocks].vec())
if tbin>1:
dynspec = cr.hArray_toNumpy(dynspec)
dynspec = dynspec.reshape((dynspec.shape[0]/tbin,tbin,dynspec.shape[1]))
dynspec = np.sum(dynspec,axis=1)
dynspec = cr.hArray(dynspec)
dynspec = dynspec.Transpose()
dynspec.par.station = beams['STATION_NAME'][0]
dynspec.par.yvalues = beams['BEAM_FREQUENCIES']/10**6
dynspec.par.xvalues = cr.hArray(float,nblocks,list(np.arange(0,nblocks*8192*2*5e-9,8192*2*5e-9)))
if verbose:
super_plot(dynspec,pulse=pulse,zoom=zoom)
pdb.set_trace() # Used for now to pause and manually save the images.
incoherent_dynspec+=dynspec
file['SELECTED_DIPOLES_INDEX'][i]
for i in range(len(file['SELECTED_DIPOLES']))
],
rotation='vertical')
p2 = outdir + '/RFI/FindRFI.' + str(
Obs_ID2) + '.st_' + file['STATION_NAME'][0] + '.pol_' + str(
polarization) + '.antennas_cleaned_power.png'
cr.plt.savefig(p2)
#Ploting a waterfall with freq vs antenna for both RFI regions.
if 'msec' in obs_mode:
cr.plt.figure()
else:
cr.plt.figure(figsize=(8, 12))
cr.plt.subplot(211)
cr.plt.imshow(cr.hArray_toNumpy(average_spectrum -
median_average_spectrum),
aspect='auto',
origin='lower',
interpolation='nearest',
cmap=cr.plt.cm.jet,
vmin=-1,
vmax=1,
extent=(freqs[0], freqs[-1], 0, rfi.nantennas))
cb = cr.plt.colorbar(pad=0.0, fraction=.1)
cb.set_label('log( Power spectrum per antenna / median)')
cr.plt.xlabel('Frequency [MHz]')
cr.plt.yticks(range(len(file['SELECTED_DIPOLES'])), [
file['SELECTED_DIPOLES_INDEX'][i]
for i in range(len(file['SELECTED_DIPOLES']))
],
fontsize=8)
